Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.8 * weight + 144
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Theuns
5
72 kgCoenen
6
69 kgOlivier
12
64 kgVandenbogaerde
20
77 kgVelasco
55
58 kg
5
72 kgCoenen
6
69 kgOlivier
12
64 kgVandenbogaerde
20
77 kgVelasco
55
58 kg
Weight (KG) →
Result →
77
58
5
55
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | THEUNS Edward | 72 |
| 6 | COENEN Dennis | 69 |
| 12 | OLIVIER Daan | 64 |
| 20 | VANDENBOGAERDE Jens | 77 |
| 55 | VELASCO Henry | 58 |